BACKGROUND Image contrast between normal tissue and brain tumours may sometimes appear to be low in intraoperative ultrasound. Ultrasound imaging of strain is an image modality that has been recently explored for intraoperative imaging of the brain. This study aims to investigate differences in image contrast between ultrasound brightness mode (B-mode) images and ultrasound strain magnitude ima...

RATIONALE AND OBJECTIVES To assess the impact of adaptive filter postprocessing on quality of ultrasound images. METHODS Ultrasound images acquired with real-time spatial compound imaging (SonoCT imaging) were subsequently processed with an adaptive real time algorithm (XRES imaging). Conventional and XRES-processed images from abdominal, pediatric or small parts ultrasound explorations were ...

Segmentation remains a necessary step in medical imaging to obtain qualitative measurements such as the location of objects of interest as well as for quantitative measurements such as area, volume or the analysis of dynamic behavior of anatomical structures over time. Among these images, ultrasound images play a crucial role, because they can be produced at video-rate and therefore allow a dyn...

Image denoising has become a very essential exercise all through the diagnosis especially in case of medical image processing involving ultrasound. Speckle pattern is one of the most complicated multiplicative noise which hardly degrades visual quality of clinical ultrasound images. Real time ultrasound images posses inherited speckle pattern which reduces its resolution and contrast there by d...

Breast cancer is one of the leading causes death in México and among world. This mainly due to late diagnosis price treatment. Ultrasound (US) most used tools for image-based assessment this disease, since it can help discriminate solid vs. cystic masses, as well between benign or malignant masses. However, ultrasound imaging depends largely on radiologists experience. A detection not depending...

Segmentation of ultrasound images is difficult due to discontinuity and uncertainty of segmentation boundaries caused by speckle noise. Most of the ultrasound image segmentation algorithms require high computational time and do not give good results. In this paper, a novel algorithm for the ultrasound image segmentation is proposed. Our approach is based on semi-automatic classical region growi...

This paper proposes a method for speckle reduction in medical ultrasound imaging while preserving the edges with the added advantages of adaptive noise filtering and speed. A nonlinear image diffusion method that incorporates local image parameter, namely, scatterer density in addition to gradient, to weight the nonlinear diffusion process, is proposed. The method was tested for the isotropic c...